Tianzhou Ma
Dr. Tianzhou (Charles) Ma is an assistant professor of Biostatistics in the Department of Epidemiology and Biostatistics at the University of Maryland. His research focuses on developing novel, useful and timely statistical methods and software in genetics and bioinformatics. His expertise lies in meta-analysis, data integration, Bayesian analysis, machine learning and high-dimensional variable selection. His methods have wide application in neuroscience, cancer and epidemiology fields.
Departments/Units
Areas of Interest
Core FacultyBioinformatics; Statistical Genetics; Big Data Integration; Machine Learning; Neuroscience; Cancer
PhD, Biostatistics, 2018
University of Pittsburgh
MS, Biostatistics, 2013
Yale University
BS, Genetics and Biotechnology, 2010
University of Toronto
EPIB 661 Applied Multivariate Data Analysis
EPIB 664 Missing Data Analysis
EPIB 652 Categorical Data Analysis
MPower BHHP seed grant, University of Maryland, 2021
FY20-21 FSRA Award, UMD Graduate School, 2019
Delta Omega Membership, Delta Omega Honorary Society in Public Health, 2018
Student Paper Award, American Statistical Association Section on Bayesian Statistical Science (SBSS), 2017
Student of the Year, American Statistics Association (ASA) Pittsburgh chapter, 2017
Best Paper Award, Dahshu Data Science Symposium: Computational Precision Health, 2017
Outstanding Graduate Student Researcher Award, Department of Biostatistics, University of Pittsburgh, 2016
Travel Award to attend "Optimization Opening Workshop," Statistical and Applied Mathematical Sciences Institute (SAMSI), 2016